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Better than classical? The subtle art of benchmarking quantum machine learning models
March 13, 2024, 4:42 a.m. | Joseph Bowles, Shahnawaz Ahmed, Maria Schuld
cs.LG updates on arXiv.org arxiv.org
Abstract: Benchmarking models via classical simulations is one of the main ways to judge ideas in quantum machine learning before noise-free hardware is available. However, the huge impact of the experimental design on the results, the small scales within reach today, as well as narratives influenced by the commercialisation of quantum technologies make it difficult to gain robust insights. To facilitate better decision-making we develop an open-source package based on the PennyLane software framework and use …
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